Triple

T11947110
Position Surface form Disambiguated ID Type / Status
Subject Alanna E284326 entity
Predicate hasDiminutive P456 FINISHED
Object Lana
Lana is a feminine given name commonly used in various cultures, often as a short form of longer names such as Alanna.
 E832142 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lana | Statement: [Alanna, hasDiminutive, Lana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lana
Context triple: [Alanna, hasDiminutive, Lana]
  • A. Lana
    Lana is a filmmaker best known as one of the Wachowski sisters, the co-creators of The Matrix film series.
  • B. Lana
    Lana is the seductive call girl who becomes the central love interest and catalyst for chaos in the 1983 film "Risky Business."
  • C. Lyla
    "Lyla" is a song by the English rock band Oasis, featured on their 2005 album "Don't Believe the Truth."
  • D. Lorna
    Lorna is a feminine given name most notably borne by American actress and singer Lorna Luft, the daughter of Judy Garland.
  • E. Lana Morris
    Lana Morris was a British film and television actress known for her work in mid-20th-century comedies and dramas.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lana
Triple: [Alanna, hasDiminutive, Lana]
Generated description
Lana is a feminine given name commonly used in various cultures, often as a short form of longer names such as Alanna.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lana
Target entity description: Lana is a feminine given name commonly used in various cultures, often as a short form of longer names such as Alanna.
  • A. Lana
    Lana is the seductive call girl who becomes the central love interest and catalyst for chaos in the 1983 film "Risky Business."
  • B. Lana chosen
    Lana is a filmmaker best known as one of the Wachowski sisters, the co-creators of The Matrix film series.
  • C. Lyla
    "Lyla" is a song by the English rock band Oasis, featured on their 2005 album "Don't Believe the Truth."
  • D. Lorna
    Lorna is a feminine given name most notably borne by American actress and singer Lorna Luft, the daughter of Judy Garland.
  • E. Lana Morris
    Lana Morris was a British film and television actress known for her work in mid-20th-century comedies and dramas.
  • F. None of above.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903456ec0819082b8b10755a6b732 completed April 10, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f471ba7fd88190909596e6e01e8714 completed May 1, 2026, 9:26 a.m.
NEDg Description generation batch_69f47b755f808190acb2fb31473d2405 completed May 1, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69f47d8bbae8819088d48b300291ef74 completed May 1, 2026, 10:16 a.m.
Created at: April 8, 2026, 9:45 p.m.